856 related articles for article (PubMed ID: 17698099)
1. Application of artificial intelligence to the management of urological cancer.
Abbod MF; Catto JW; Linkens DA; Hamdy FC
J Urol; 2007 Oct; 178(4 Pt 1):1150-6. PubMed ID: 17698099
[TBL] [Abstract][Full Text] [Related]
2. Bibliography. Current world literature. Genitourinary systems.
Curr Opin Oncol; 2000 May; 12(3):B104-33. PubMed ID: 10841204
[No Abstract] [Full Text] [Related]
3. [Urological cancer: treatment strategies].
Srougi M; de Góes GM
AMB Rev Assoc Med Bras; 1983; 29(11-12):199-209. PubMed ID: 6369432
[No Abstract] [Full Text] [Related]
4. Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
Catto JW; Linkens DA; Abbod MF; Chen M; Burton JL; Feeley KM; Hamdy FC
Clin Cancer Res; 2003 Sep; 9(11):4172-7. PubMed ID: 14519642
[TBL] [Abstract][Full Text] [Related]
5. Current concepts in genitourinary oncology: a multidisciplinary approach.
Rubin P
J Urol; 1971 Sep; 106(3):315-38. PubMed ID: 5107052
[No Abstract] [Full Text] [Related]
6. [The urological group of the EORTC (European Organization for Research on the Treatment of Cancer), 1976-1984].
Smith PH; de Pauw M; Sylvester R
Arch Esp Urol; 1984 Dec; 37 Suppl 2():713-23. PubMed ID: 6543605
[No Abstract] [Full Text] [Related]
7. Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer.
Suarez-Ibarrola R; Hein S; Reis G; Gratzke C; Miernik A
World J Urol; 2020 Oct; 38(10):2329-2347. PubMed ID: 31691082
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence in medicine.
Ramesh AN; Kambhampati C; Monson JR; Drew PJ
Ann R Coll Surg Engl; 2004 Sep; 86(5):334-8. PubMed ID: 15333167
[TBL] [Abstract][Full Text] [Related]
9. Genitourinary malignancy.
Giantonio B; Ozols RF; Hudes GR
Cancer Chemother Biol Response Modif; 1993; 14():498-529. PubMed ID: 8312117
[No Abstract] [Full Text] [Related]
10. Application of Artificial Intelligence-based Technology in Cancer Management: A Commentary on the Deployment of Artificial Neural Networks.
Sherbet GV; Woo WL; Dlay S
Anticancer Res; 2018 Dec; 38(12):6607-6613. PubMed ID: 30504368
[TBL] [Abstract][Full Text] [Related]
11. Comparative promoter methylation analysis of p53 target genes in urogenital cancers.
Christoph F; Hinz S; Weikert S; Kempkensteffen C; Schostak M; Miller K; Schrader M
Urol Int; 2008; 80(4):398-404. PubMed ID: 18587251
[TBL] [Abstract][Full Text] [Related]
12. Genitourinary cancer.
Hudes GR; Grana G; Deshields MS; Ozols RF
Cancer Chemother Biol Response Modif; 1992; 13():508-40. PubMed ID: 1389919
[No Abstract] [Full Text] [Related]
13. Pathomics in urology.
Schuettfort VM; Pradere B; Rink M; Comperat E; Shariat SF
Curr Opin Urol; 2020 Nov; 30(6):823-831. PubMed ID: 32881725
[TBL] [Abstract][Full Text] [Related]
14. Comparison of Cox regression with other methods for determining prediction models and nomograms.
Kattan MW
J Urol; 2003 Dec; 170(6 Pt 2):S6-9; discussion S10. PubMed ID: 14610404
[TBL] [Abstract][Full Text] [Related]
15. A review on the integration of artificial intelligence into coastal modeling.
Chau K
J Environ Manage; 2006 Jul; 80(1):47-57. PubMed ID: 16337078
[TBL] [Abstract][Full Text] [Related]
16. Predictive models in urology.
Cestari A
Urologia; 2013; 80(1):42-5. PubMed ID: 23423686
[TBL] [Abstract][Full Text] [Related]
17. Automated decision making: the role of expert computer systems in the future of optometry.
Madsen EM; Kaminski MS; Yolton RL
J Am Optom Assoc; 1993 Jul; 64(7):479-89. PubMed ID: 8376717
[TBL] [Abstract][Full Text] [Related]
18. Understanding artificial neural networks and exploring their potential applications for the practicing urologist.
Wei JT; Zhang Z; Barnhill SD; Madyastha KR; Zhang H; Oesterling JE
Urology; 1998 Aug; 52(2):161-72. PubMed ID: 9697777
[TBL] [Abstract][Full Text] [Related]
19. A fuzzy logic based-method for prognostic decision making in breast and prostate cancers.
Seker H; Odetayo MO; Petrovic D; Naguib RN
IEEE Trans Inf Technol Biomed; 2003 Jun; 7(2):114-22. PubMed ID: 12834167
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence expert systems with neural network machine learning may assist decision-making for extractions in orthodontic treatment planning.
Takada K
J Evid Based Dent Pract; 2016 Sep; 16(3):190-192. PubMed ID: 27855838
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]